Acceptance and adoption of the innovative use of smartphone

Purpose – The purpose of this study is to investigate human motivations affecting an adoption decision for smartphone among medical doctors and nurses.Design/methodology/approach – This study investigates smartphone users' perception based on users' perceived adoption under the self‐efficacy, technology acceptance model (TAM) and innovation attributes leading to an adoption attitude under innovation diffusion theory by providing research constructs for the domain of medical doctors and nurses, testing them with reliability and validity, and demonstrating their distinctiveness with hypothesis testing.Findings – The results indicate that behavioral intention to use was largely influenced by perceived usefulness (PU) and attitude toward using smartphone. PU and perceived ease of use positively determine attitude toward using smartphone.Research limitations/implications – For researchers, this study shows the possible and valuable adaptation of TAM constructs into the smartphone acceptance of doctors and nurs...

[1]  E. Rogers.  Diffusion of Innovations , 1962 .

[2]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[3]  Howard B. Lee,et al.  Foundations of Behavioral Research , 1973 .

[4]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

[5]  Thomas Hill,et al.  Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. , 1987 .

[6]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[7]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[8]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[9]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[10]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[11]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[12]  Izak Benbasat,et al.  Empirical Research in Information Systems: The Practice of Relevance , 1999, MIS Q..

[13]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[14]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[15]  M.H.P. Kleijnen,et al.  Consumer acceptance of wireless finance , 2004 .

[16]  Joseph Goedert,et al.  Vendors see a wireless revolution. , 2003, Health data management.

[17]  Yan Xiao,et al.  Why Don't Physicians Use Their Personal Digital Assistants? , 2003, AMIA.

[18]  R. Gonzalez.  Applied Multivariate Statistics for the Social Sciences , 2003 .

[19]  D. Christakis,et al.  Pediatricians' use of and attitudes about personal digital assistants. , 2004, Pediatrics.

[20]  Mustafa C. Ungan.  Factors affecting the adoption of manufacturing best practices , 2004 .

[21]  Yan Xiao,et al.  A review and a framework of handheld computer adoption in healthcare , 2005, Int. J. Medical Informatics.

[22]  Mark Srite,et al.  A Research Model for Mobile Phone Service Behaviors: Empirical Validation in the U.S. and Turkey , 2005 .

[23]  A. Bower.  The Diffusion and Value of Healthcare Information Technology , 2005 .

[24]  Ing-Long Wu,et al.  A hybrid technology acceptance approach for exploring e-CRM adoption in organizations , 2005, Behav. Inf. Technol..

[25]  ETA S. BERNER,et al.  Review Paper: Will the Wave Finally Break? A Brief View of the Adoption of Electronic Medical Records in the United States , 2004, J. Am. Medical Informatics Assoc..

[26]  Myeong-Cheol Park,et al.  Mobile internet acceptance in Korea , 2005, Internet Res..

[27]  Hsu-Yang Kung,et al.  Mobile multimedia medical system: design and implementation , 2006, Int. J. Mob. Commun..

[28]  K. El Emam,et al.  Who’s Using PDAs? Estimates of PDA Use by Health Care Providers: A Systematic Review of Surveys , 2006, Journal of medical Internet research.

[29]  Zetian Fu,et al.  An Innovation Adoption Study of Online E-Payment in Chinese Companies , 2006, J. Electron. Commer. Organ..

[30]  Ville Harkke,et al.  Impacts of physicians' usage of a mobile information system , 2006, Int. J. Electron. Heal..

[31]  Ioanna D. Constantiou,et al.  Exploring perceptions and use of mobile services: user differences in an advancing market , 2006, Int. J. Mob. Commun..

[32]  Timo Koivumäki,et al.  Predicting consumer acceptance in mobile services: empirical evidence from an experimental end user environment , 2006, Int. J. Mob. Commun..

[33]  Shuang Xu,et al.  Moderating Effects of Task Type on Wireless Technology Acceptance , 2005, J. Manag. Inf. Syst..

[34]  Shengnan Han,et al.  Physicians' acceptance of mobile communication technology: an exploratory study , 2006, Int. J. Mob. Commun..

[35]  Sharon M. Ordoobadi.  Fuzzy logic and evaluation of advanced technologies , 2008, Ind. Manag. Data Syst..

[36]  Raffaello Balocco,et al.  Mobile internet and SMEs: a focus on the adoption , 2009, Ind. Manag. Data Syst..

[37]  Tiong T. Goh,et al.  SMS-based library catalogue system: a preliminary investigation of user acceptance , 2009, Electron. Libr..